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results
VirginiaAchille/results
results is a text classification model from VirginiaAchille. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Apr 5, 2025
- Updated
- Apr 7, 2025
- SHA
- 4bf978dc
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
results
This model is a fine-tuned version of castorini/afriberta_large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4618
- Accuracy: 0.9177
- F1: 0.9176
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 122 | 0.4023 | 0.8848 | 0.8867 |
| No log | 2.0 | 244 | 0.4081 | 0.9136 | 0.9136 |
| No log | 3.0 | 366 | 0.4208 | 0.9177 | 0.9176 |
| No log | 4.0 | 488 | 0.4357 | 0.9177 | 0.9178 |
| 0.2252 | 5.0 | 610 | 0.4618 | 0.9177 | 0.9176 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 5, 2025
- Updated
- Apr 7, 2025